14 search results - page 1 / 3 » Efficient and Numerically Stable Sparse Learning |
PKDD
2010
Springer
13 years 2 months ago
2010
Springer
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...
DAGSTUHL
2006
13 years 5 months ago
2006
We consider the problem of sparse interpolation of a multivariate black-box polynomial in floating-point arithmetic. That is, both the inputs and outputs of the black-box polynomia...
JMLR
2002
13 years 4 months ago
2002
We present some greedy learning algorithms for building sparse nonlinear regression and classification models from observational data using Mercer kernels. Our objective is to dev...
CVPR
2004
IEEE
14 years 6 months ago
2004
IEEE
Active contour models are among the most popular PDE-based tools in computer vision. In this paper we present a new algorithm for the fast evolution of geodesic active contours an...
JMLR
2006
13 years 4 months ago
2006
Incremental Support Vector Machines (SVM) are instrumental in practical applications of online learning. This work focuses on the design and analysis of efficient incremental SVM ...